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Two Indian-origin researchers at UofT awarded Canada research chairs

Anil Kishen and Rahul Gopalakrishnan were awarded funding through the Canada Research Chairs Program (CRCP) to advance their work in oral health nanomedicine and computational medicine, respectively.

(L) Anil Kishen, (R) Rahul Gopalkrishnan (University of Toronto) /

Two Indian-origin researchers were among the 36 researchers from the University of Toronto, who were awarded Canada Research Chairs by the government.

The Canada Research Chairs program (CRCP) established in the year 2000 aims to recruit and retain top researchers and scholars in the country. It stands at the centre of a national strategy to make Canada one of the world’s top countries in research and development.

Grants amounting to over $300 million annually are awarded to attract a diverse cadre of researchers to reinforce academic research and training excellence in Canadian postsecondary institutions.

Professor Anil Kishen from the faculty of dentistry was awarded the funding for his Tier 1 Canada research to advance work in oral health nanomedicine. His research focuses on how multifunctional bioactive nanoparticles can aid wound healing and cellular crosstalk mechanisms.

With funding from the Canada Research Chair, the Kishen Lab will examine how cells crosstalk in the presence of bacteria, and how to stimulate that crosstalk to influence healing. The team will develop three-dimensional tissue and wound models to study the crosstalk mechanism. They will be developing a treatment to make it affordable to the masses, as per a UofT news release.

Rahul Gopalakrishnan, the second Indian-origin researcher at the UofT to have been awarded funding, will use it to advance his work in computational medicine. He is an assistant professor in the department of computer science, and the department of laboratory medicine and pathobiology at UofT.

Gopalakrishnan aims to develop machine learning algorithms to create a learning healthcare system, where digitized clinical and biological data are used to improve clinical care while improving the understanding of human and disease biology.

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